- recipe bioconductor-rmagpie
MicroArray Gene-expression-based Program In Error rate estimation
- Homepage
https://bioconductor.org/packages/3.14/bioc/html/Rmagpie.html
- License
GPL (>= 3)
- Recipe
Microarray Classification is designed for both biologists and statisticians. It offers the ability to train a classifier on a labelled microarray dataset and to then use that classifier to predict the class of new observations. A range of modern classifiers are available, including support vector machines (SVMs), nearest shrunken centroids (NSCs)… Advanced methods are provided to estimate the predictive error rate and to report the subset of genes which appear essential in discriminating between classes.
- package bioconductor-rmagpie¶
-
- Versions
1.50.0-0
,1.48.0-0
,1.46.0-1
,1.46.0-0
,1.44.0-0
,1.42.0-0
,1.40.0-1
,1.38.0-0
- Depends
bioconductor-biobase
>=2.54.0,<2.55.0
r-base
>=4.1,<4.2.0a0
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-rmagpie
and update with:
conda update bioconductor-rmagpie
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-rmagpie:<tag>
(see bioconductor-rmagpie/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-rmagpie/README.html)